885 citations · 3.8k across the 104 of their papers we have counts for
4 papers · 1 filter
Sub-linear Time Support Recovery for Compressed Sensing using Sparse-Graph Codes
Xiao Li, Dong Yin, Sameer Pawar +2
We study the support recovery problem for compressed sensing, where the goal is to reconstruct the a high-dimensional -sparse signal , from low-dimens…
Capacity-Approaching PhaseCode for Low-Complexity Compressive Phase Retrieval
Ramtin Pedarsani, Kangwook Lee, Kannan Ramchandran
In this paper, we tackle the general compressive phase retrieval problem. The problem is to recover a K-sparse complex vector of length n, , from the magnitudes…
PhaseCode: Fast and Efficient Compressive Phase Retrieval based on Sparse-Graph-Codes
Ramtin Pedarsani, Dong Yin, Kangwook Lee +1
We consider the problem of recovering a -sparse complex signal from intensity measurements. We propose the PhaseCode algorithm, and show that in the noiseless case, Phas…
When is it Better to Compare than to Score?
Nihar B. Shah, Sivaraman Balakrishnan, Joseph Bradley +3
When eliciting judgements from humans for an unknown quantity, one often has the choice of making direct-scoring (cardinal) or comparative (ordinal) measurements. In this paper we…